It is often observed in practice that the essential behavior of mathematical models involving many variables can be captured by a much smaller model involving only a few…
Abstract
It is often observed in practice that the essential behavior of mathematical models involving many variables can be captured by a much smaller model involving only a few variables. Further, the simpler model very often displays oscillatory behavior of some sort, especially when critical problem parameters are varied in certain ranges. This paper attempts to supply arguments from the theory of dynamical systems for why oscillatory behavior is so frequently observed and to show how such behavior emerges as a natural consequence of focusing attention upon so‐called “essential” variables in the process of model simplification. The relationship of model simplification and oscillatory behavior is shown to be inextricably intertwined with the problems of bifurcation and catastrophe in that the oscillations emerge when critical system parameters, i.e. those retained in the simple model, pass through critical regions. The importance of the simplification, oscillation and bifurcation pattern is demonstrated here by consideration of several examples from the environmental, economic and urban areas.
Certain elements of Hayek’s work are prominent precursors to the modern field of complex adaptive systems, including his ideas on spontaneous order, his focus on market processes…
Abstract
Certain elements of Hayek’s work are prominent precursors to the modern field of complex adaptive systems, including his ideas on spontaneous order, his focus on market processes, his contrast between designing and gardening, and his own framing of complex systems. Conceptually, he was well ahead of his time, prescient in his formulation of novel ways to think about economies and societies. Technically, the fact that he did not mathematically formalize most of the notions he developed makes his insights hard to incorporate unambiguously into models. However, because so much of his work is divorced from the simplistic models proffered by early mathematical economics, it stands as fertile ground for complex systems researchers today. I suggest that Austrian economists can create a progressive research program by building models of these Hayekian ideas, and thereby gain traction within the economics profession. Instead of mathematical models the suite of techniques and tools known as agent-based computing seems particularly well-suited to addressing traditional Austrian topics like money, business cycles, coordination, market processes, and so on, while staying faithful to the methodological individualism and bottom-up perspective that underpin the entire school of thought.
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The paper describes the conceptual and mathematical background of a tool for modelling and optimising transportation networks. The tool has been created to model resources and…
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The paper describes the conceptual and mathematical background of a tool for modelling and optimising transportation networks. The tool has been created to model resources and cargo flows in port terminal networks. The concept behind the tool is characterised by three features. Firstly the nodes are non-stationary and can be adapted to accommodate changed requirements in the transportation system. Secondly a high degree of complexity is built into the operational modes of the nodes. Thirdly, the concept incorporates an information network interacting closely with nodes and links. All networks can be optimised employing powerful algorithms and tools from system theory, neural networks and combinatorial graph theory.
J. Andrés Domínguez-Gómez, Hugo Pinto and Teresa González-Gómez
The university is changing. Its social role is growing in diversity and complexity. In a knowledge-based society, there is a huge public expectation in the results and impacts of…
Abstract
The university is changing. Its social role is growing in diversity and complexity. In a knowledge-based society, there is a huge public expectation in the results and impacts of the university’s activities. Its traditional roles – training and qualification of individuals and production of new knowledge – are no longer valid. As a result of university–industry interactions, policy-making began to give additional significance to the role of the university in regional development, mainly motivated by shining examples of success in transferring scientific knowledge to valuable innovation, many through academic entrepreneurship. This change in the role of the university is reflected not only in the mode of knowledge production, which became more transdisciplinary and applied, but also in the active engagement of different institutional spheres, the university, the firm, the government, and end-users, creating new hybrid and overlapping areas for the governance of innovative dynamics. This chapter defines and analyses the position of the university in contemporary society as a socially legitimised institution for the production of knowledge and innovation. Three different theoretical traditions – Actor–Network Theory, Stakeholder Theory and territorial innovation models – inspire the analysis of 15 in-depth interviews with key actors in their local innovation system and knowledge networks around the University of Huelva (Andalusia, Spain). The main conclusions suggest that the university today faces a huge challenge in responding to the expectations that society places on it.
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The strategy field has historically addressed the problem of strategy as a problem of ex-ante economic calculation of pay-offs associated with alternative choices. Given the…
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The strategy field has historically addressed the problem of strategy as a problem of ex-ante economic calculation of pay-offs associated with alternative choices. Given the inherent intractability of such problems, at least with respect to identifying an optimum, behavioralism is in some form inevitable. However, behavioralism need not imply a lack of intentionality or even high-order design efforts. The argument proposed here is for a focus on the design of organizations as complex, adaptive systems that are more or less capable of achieving satisfactory strategic outcomes.
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This chapter bridges theories of product development in tourism destinations with the analytical concept of genius loci (‘the spirit of a place’) used in writings on architecture…
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This chapter bridges theories of product development in tourism destinations with the analytical concept of genius loci (‘the spirit of a place’) used in writings on architecture and design. Assuming that spatial and symbolic uniqueness are critical ingredients to create attractive tourism experiences, the chapter proposes a schematic process for atmospheric interventions. Atmospheric interventions are presented as a technique which, first, understands the essential role of atmospheric contexts for tourism experiences; second, conceives transformations of atmospheres in a manner that take their complex nature into account; and third, sees value in respecting and enhancing the traditioned character of places and their atmospheres. Overall, this chapter suggests preference for a humble and careful approach of atmospheric interventions over decontextualised attempts to redesign atmospheres from scratch.
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Briefly maps the intellectual terrain of a generic system of enquiry — the metatheory of case study research. Draws a distinction between a generic research design and a…
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Briefly maps the intellectual terrain of a generic system of enquiry — the metatheory of case study research. Draws a distinction between a generic research design and a methodology: the former is an overarching research plan, the latter refers to data‐generating processes and cognitive procedures for discerning datal patterns. Methodology is an integral part of every generic research design. General systems theory informs the metatheory on the case under study. Describes the armamentarium of case study research: topical loci in case study research; researcher's a priori notions and values; ideology/epistemology interrelations; data‐generating instruments and procedures; cognitive datalpattern processes and characteristics of case study discourse. Delineates the influences of the pragmatic unity of fact and value, the reciprocal relations between knowledge and practice, and the constraints of the researcher's intellectual vision and values. Presents the character and significance of the Heisenberg indeterminacy principle for the epistemology of the social/behavioural sciences.